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Article

Mixed Model Generalizability Theory: A Case Study and Tutorial

Authors
  • Alan Huebner (University of Notre Dame)
  • Gustaf B. Skar (Norwegian University of Science and Technology)
  • Mengchen Huang (Insights @ Riot Games)

Abstract

Generalizabilty theory is a modern and powerful framework for conducting reliabiltiy analyses. It is flexible to accommodate both random and fixed facets. However, there has been a relative scarcity in the practical literature on how to handle the fixed facet case. This article aims to provide practitioners a conceptual understanding and computational resources to deal with designs with a fixed facet in both univariate and multivariate generalizabilty theory settings. The analyses feature a real data set, which is available to readers along with the code to reproduce all analyses. 

Keywords: reliability, generalizability theory

How to Cite:

Huebner, A., Skar, G. B. & Huang, M., (2025) “Mixed Model Generalizability Theory: A Case Study and Tutorial”, Practical Assessment, Research, and Evaluation 30(1): 7. doi: https://doi.org/10.7275/pare.2376

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Published on
2025-08-14

Peer Reviewed